mlsanityData to 7 Oct 2026

Objaverse-XL: A Universe of 10M+ 3D Objects

arXiv 2307.05663 ↗First posted 11 Jul 2023cs.CV cs.AIcited by 767

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Cited by 162 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Natural language processing and 2D vision models have attained remarkable proficiency on many tasks primarily by escalating the scale of training data. However, 3D vision tasks have not seen the same progress, in part due to the challenges of acquiring high-quality 3D data. In this work, we present Objaverse-XL, a dataset of over 10 million 3D objects. Our dataset comprises deduplicated 3D objects from a diverse set of sources, including manually designed objects, photogrammetry scans of landmarks and everyday items, and professional scans of historic and antique artifacts. Representing the largest scale and diversity in the realm of 3D datasets, Objaverse-XL enables significant new possibilities for 3D vision. Our experiments demonstrate the improvements enabled with the scale provided by Objaverse-XL. We show that by training Zero123 on novel view synthesis, utilizing over 100 million multi-view rendered images, we achieve strong zero-shot generalization abilities. We hope that releasing Objaverse-XL will enable further innovations in the field of 3D vision at scale.

Key facts. Cited by 767 papers in the map (data through 7 Oct 2026). Builds on 57 of its 85 references that are in the map. First posted on arXiv 11 Jul 2023.

Builds on

57 of 85 references.

References · 57

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38 more
  1. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
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  4. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
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  19. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
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50 most cited of 57 All 57 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 46; 2024: 226; 2025: 279; 2026: 216.

767 papers.

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  1. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
  2. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  3. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 742
  4. 2024LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creationcited by 730
  5. 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 638
  6. 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
  7. 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 514
  8. 2024InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Modelscited by 421
  9. 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
  10. 2024SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusioncited by 364
  11. 2023Splatter Image: Ultra-Fast Single-View 3D Reconstructioncited by 359
  12. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
38 more
  1. 2023Text-to-3D using Gaussian Splattingcited by 299
  2. 2025VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulnesscited by 289
  3. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  4. 2023Uni3D: Exploring Unified 3D Representation at Scalecited by 231
  5. 2025SAM 3D: 3Dfy Anything in Imagescited by 230
  6. 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 227
  7. 2024CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Modelcited by 214
  8. 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformercited by 210
  9. 2025Video models are zero-shot learners and reasonerscited by 208
  10. 2023DreamGaussian4D: Generative 4D Gaussian Splattingcited by 191
  11. 2023XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchiescited by 183
  12. 2023Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Modelscited by 169
  13. 2024CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generationcited by 163
  14. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 157
  15. 2025Native and Compact Structured Latents for 3D Generationcited by 157
  16. 2024GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generationcited by 151
  17. 2024SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistencycited by 143
  18. 2024MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformerscited by 140
  19. 2024DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusioncited by 139
  20. 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Imagecited by 132
  21. 2024SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understandingcited by 130
  22. 2024Recent Advances in 3D Gaussian Splattingcited by 130
  23. 2023State of the Art on Diffusion Models for Visual Computingcited by 126
  24. 2023Consistent4D: Consistent 360deg Dynamic Object Generation from Monocular Videocited by 124
  25. 2024CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refinercited by 120
  26. 2024MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generationcited by 113
  27. 2024Grounded 3D-LLM with Referent Tokenscited by 111
  28. 2024InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Priorcited by 110
  29. 2023ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Imagecited by 109
  30. 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attentioncited by 103
  31. 2025CAST: Component-Aligned 3D Scene Reconstruction from an RGB Imagecited by 101
  32. 2024MeshXL: Neural Coordinate Field for Generative 3D Foundation Modelscited by 100
  33. 20243DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusioncited by 100
  34. 2024Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Modelscited by 99
  35. 2025CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Modelscited by 97
  36. 2024SAMPart3D: Segment Any Part in 3D Objectscited by 95
  37. 2025Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridgingcited by 95
  38. 2024EscherNet: A Generative Model for Scalable View Synthesiscited by 94

50 most cited of 767 All 767 (JSON)